The Internet-Scale Graph Platform

Neo4j’s Graph Platform is bringing a connections-first approach to applications and analytics across the enterprise.

A Graph Platform Reveals and Persists Connections

The graph platform takes a connections-first approach to data. It broadens a company’s ability recognize the importance of persisting relationships and connections through every transition of existence: from idea, to design in a logical model, to implementation in a physical model, to operation using a query language and to persistence within a scalable, reliable database system. The foundation of representing connected data is known as a graph.

Neo4j’s Graph Platform is built around the Neo4j native graph database:

The Age of Connections

The age of connections started long before Millennials, yet they typify the world’s appetite for connections. Trends like social, mobile, analytics and cloud – as well as tomorrow’s aspirations towards autonomy, IoT and deep neural networks – are all dependent on increasing data connectedness. And yet, it remains extremely difficult for modern data stacks based on SQL and NoSQL to divine how data elements are related.

SQL and NoSQL Do Not Meet Graph Expectations

The truth is that relational database JOINs are expensive and NoSQL databases trade inalienable functions like data consistency and transactions for raw speed and scale, all of which causes headaches for developers, IT and data scientists, and all but ignores business users and executives.

Connections Are the Future

Yesterday's breakthrough applications were driven by big data – tomorrow's breakthrough applications will be driven by connected data. No longer powered merely by data transactions, these applications draw together every system across the entire enterprise.

Graphs Are the Synapses
between Insights and Action

Neo4j’s Graph Platform is the fastest path available to operationalize enterprise analytic insights by connecting the work of big data IT to data scientists to application developers building impactful killer apps.

This is where artificial intelligence starts – through applications that make connections born from thoughtful algorithms upon a growing network of data assets.

Neo4j Desktop: Developer-Friendly Packaging

Neo4j Desktop is the new mission control center for developers. It's free with registration, and it includes a development license for Enterprise Edition as well as an installer for the APOC library. It will also connect to your production servers, and eventually also install other components like the graph algorithms or Java upgrades. Developers will enjoy these features:

Database model must be developed with modelers and translated from a logical model to a physical one. Since data types and sources must be known ahead of time, any changes require weeks of downtime for implementation.

Flexible, "whiteboard-friendly" data model with no mismatch between logical and physical model. Data types and sources can be added or changed at any time, leading to dramatically shorter development times and true agile iteration.

Query Performance

Data processing performance suffers with the number and depth of JOINs (or relationships queried).

Graph processing ensures zero latency and real-time performance, regardless of the number or depth of relationships.

Query Language

SQL: A query language that increases in complexity with the number of JOINs needed for connected data queries.

Cypher: A native graph query language that provides the most efficient and expressive way to describe relationship queries.

Transaction Support

ACID transaction support required by enterprise applications for consistent and reliable data.

Data model not suitable for enterprise architectures as wide columns and document stores do not offer control at the design level. Puts undue pressure on the application level to catch and solve problems.

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